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<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.0//EN" "http://www.ncbi.nlm.nih.gov:80/entrez/query/static/PubMed.dtd"[]>
<ArticleSet>
  <Article>
    <Journal>
      <PublisherName>Science and Education Publishing</PublisherName>
      <JournalTitle>American Journal of Epidemiology and Infectious Disease</JournalTitle>
      <Volume>2</Volume>
      <Issue>1</Issue>
      <PubDate PubStatus="epublish">
        <Year>2013</Year>
        <Month>12</Month>
        <Day>26</Day>
      </PubDate>
    </Journal>
    <ArticleTitle>Modelling of HIV-TB Co-infection Transmission Dynamics</ArticleTitle>
    <FirstPage>1</FirstPage>
    <LastPage>7</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName>Nita H.</FirstName>
        <LastName>Shah</LastName>
        <Affiliation>Department of Mathematics, Gujarat University, Ahmedabad, Gujarat</Affiliation>
      </Author>
      <Author>
        <FirstName>Jyoti</FirstName>
        <LastName>Gupta</LastName>
      </Author>
    </AuthorList>
    <ArticleIdList>
      <ArticleId IdType="pii">AJEID2014211</ArticleId>
      <ArticleId IdType="doi">10.12691/ajeid-2-1-1</ArticleId>
    </ArticleIdList>
    <History>
      <PubDate PubStatus="received">
        <Year>2013</Year>
        <Month>11</Month>
        <Day>26</Day>
      </PubDate>
      <PubDate PubStatus="revised">
        <Year>2013</Year>
        <Month>12</Month>
        <Day>12</Day>
      </PubDate>
      <PubDate PubStatus="accepted">
        <Year>2013</Year>
        <Month>12</Month>
        <Day>26</Day>
      </PubDate>
    </History>
    <Abstract>In this paper, we have formulated a model for HIV-TB co-infection using differential equations in order to understand the dynamics of disease spread. The model is analysed for all the parameters responsible for the disease spread in order to find the most sensitive parameters out of all. Steady state conditions are derived. A threshold parameter R0 is defined and is shown that the disease will spread only if its value exceeds 1. Numerical simulation is done for the model using MATLAB which shows the population dynamics in different compartments.</Abstract>
  </Article>
</ArticleSet>